CN113746094B - Low-voltage station area user change relation identification method based on high-density data sequence matching - Google Patents

Low-voltage station area user change relation identification method based on high-density data sequence matching Download PDF

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CN113746094B
CN113746094B CN202111037177.5A CN202111037177A CN113746094B CN 113746094 B CN113746094 B CN 113746094B CN 202111037177 A CN202111037177 A CN 202111037177A CN 113746094 B CN113746094 B CN 113746094B
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CN113746094A (en
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郑逸凡
钟健豪
李铭
华济民
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Southeast University
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
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    • G06Q50/06Energy or water supply
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management

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Abstract

The invention discloses a low-voltage distribution transformer relation identification method based on high-density data sequence matching, which is suitable for a radial topology low-voltage distribution transformer area and a low-voltage distribution transformer area with fine-granularity electricity utilization behavior acquisition. The invention extracts the power step sequences of the user side and the station transformer side by utilizing the structural characteristics and the energy transfer direction of the distribution network of the low-voltage station area, and searches the optimal step matching sequence by comparing the power steps of the user side and the station transformer side so as to determine the station area user transformer relation; the method is applicable to the transformer areas with novel intelligent electric meters and high measurement density, greatly improves the accuracy of identifying the household transformer relation of the low-voltage transformer areas, and provides real-time support for popularization of the intelligent electric meters in the low-voltage distribution network; the high-density low-voltage transformer area measurement data acquired by the non-intervention load identification terminal are fully utilized, the accuracy and the confidence of the low-voltage transformer area user change relation identification are further improved, and the operation analysis time of the transformer area topology identification is greatly reduced.

Description

Low-voltage station area user change relation identification method based on high-density data sequence matching
Technical Field
The invention belongs to the field of power utilization of smart grids, and particularly relates to a low-voltage station area household transformer relation identification method based on high-density data sequence matching.
Background
With the continuous development of technology at present, a power distribution network is a network for distributing electric energy in a power network, and is an important public infrastructure for national economy and social development. Along with the development of the power distribution network, the types of power supply equipment of the power grid are gradually enriched, the wiring mode is gradually complex, and the data volume and the complexity of related data are obviously increased.
The low-voltage transformer area is a minimum unit of the power distribution network and a data source of operation data of the power distribution network, and has the prominent problems of disordered connection files of line changing subscribers, low active perception level of power failure events and the like for a long time, so that a series of consequences such as difficult line loss management, long rush-repair time, high equipment failure rate and the like are caused. In order to solve the problems, besides the traditional manual investigation and the additional acquisition equipment supporting the high-speed power line carrier communication HPLC (Highspeed Power Line Communication), the main technical routes at home and abroad are as follows: and constructing a low-voltage side electricity consumption information acquisition system, realizing data acquisition of all levels of terminals in a low-voltage station area, and realizing identification of a household change relation of the low-voltage station area.
After the self-mining system realizes full coverage of acquisition, the data types and data density supported by the self-mining system are continuously improved, daily reading of 96-point load curve data stored at 15-minute intervals is gradually realized, and a non-intrusive load identification terminal and a small amount of load decomposition electric energy meter are accessed in a test point. Based on minute set sampling data, the existing main technical route mainly judges the user-variable relationship by researching based on an energy conservation law, a kirchhoff current law and the like and in a similarity analysis or integer programming mode, is applicable to low-density 24-point load curve data and 96-point load curve data, but is limited by the influence of the quality of acquired data and the running characteristics of a platform region, and the detection rate and the hit rate of the user-variable relationship are limited.
With the popularization and application of 5G and other communication technologies in a power system, the access density of a non-intrusive load identification terminal can be further improved by applying 5G high-proportion terminal access and large bandwidth, the sampling type and sampling frequency of each terminal can be further improved, s-level and ms-level data sampling can be realized, the data application scene of terminal identification terminal/meter sampling can be greatly expanded, and the application value mining for more non-metering services is supported.
Aiming at the problems, a low-voltage station area user change relation identification method based on high-density data sequence matching is designed.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide a low-voltage station area user change relation identification method based on high-density data sequence matching, which further improves the accuracy and the confidence of the low-voltage station area user change relation identification and greatly reduces the operation analysis time of station area topology identification.
The aim of the invention can be achieved by the following technical scheme:
the low-voltage transformer relation identification method based on high-density data sequence matching is suitable for a radial topology low-voltage distribution transformer area and a low-voltage distribution transformer area with fine-granularity electricity utilization behavior acquisition, and the radial topology structure comprises a tree topology structure and a fishbone topology structure.
The low-voltage distribution transformer area with the tree topology structure has the following characteristics:
the transformer T is provided with a transformer area to form a root node of a tree structure; under the T node of the transformer in the transformer area, at least one branch box B is arranged i The method comprises the steps of carrying out a first treatment on the surface of the Each branch box B i Each has at least one user meter box M j
The low-voltage distribution transformer area with the fishbone topology structure has the following characteristics:
the transformer T is provided with a transformer area to form a starting point of the fishbone structure; under the T node of the transformer in the transformer area, at least one branch box B is arranged i The method comprises the steps of carrying out a first treatment on the surface of the Each branch box B i Are all adjacent to a user meter box M j1 The method comprises the steps of carrying out a first treatment on the surface of the User meter box M j1 Thereafter, at least one user meter box M is connected in series jk
The low-voltage distribution transformer area with fine-granularity electricity utilization behavior acquisition has millisecond-level high-density electricity utilization information acquisition capacity and can acquire a ternary vector sequence of a user.
Further, the ternary vector sequence includes: c. t is t start And p, c are the appliance types of the recorded electricity events, t start For the start time of a recorded power utilization event, p is the power step value of the recorded power utilization event.
Further, the tree topology is characterized in that: will be fixedly divided into three layers, the first layer containing only the table change nodes, the second layer containing only the branch box nodes, and the third layer containing only the table box nodes.
The fishbone topology is characterized in that: except for the transformer T node of the transformer area, the rest nodes only have no more than one child node.
The nodes and branches of the low-voltage distribution transformer area of the radial topology satisfy the following relations:
n=m+1
n is the node number in the topological graph, and m is the branch number in the topological graph.
The tree-and fish-bone-like low-voltage transformer area topology needs to meet the following properties:
the topology of the low-voltage transformer area is provided with a unique root node T, wherein T represents a transformer of the transformer area;
at least one sub node B is separated from a root node in a low-voltage area topology i ,B i Representing a branch box;
at least one sub-node M is separated from a branch box node in a low-voltage transformer area topology j And extends out of at least one layer, M j Representing a user table box;
there is only one branch between any two nodes in the low-voltage area topology, and no loop exists.
Further, when judging whether two power utilization events and recorded steps are matched, the algorithm follows the following principles: type matching, time of day matching, and power matching.
The types are matched, namely the types of the electric appliances are the same;
the time matching is that the absolute value of the starting time difference is smaller than 1s;
the power match, i.e. the difference in electrical energy consumption, is less than 10%.
Further, the principle of judging whether two ternary vector sequences are matched is as follows: after finding the first step meeting the step matching condition, for each step after the first step in the user side ternary vector sequence, searching the step matched with the first step in the corresponding position of the transformer side ternary vector sequence of the transformer area according to the starting time and the time difference between the first steps.
If the step of the user side can be repeatedly matched with the step of the transformer area, the ternary vector sequence of the user side and the ternary vector sequence of the transformer area form sequence matching.
If a user side ternary vector sequence has a plurality of effective first steps or can form sequence matching with a plurality of transformer areas, the user side terminal is judged to be subordinate to the transformer area side terminal with the largest step matching number based on the first step scheme with the largest step matching number.
Further, the two ternary vector sequences are judged to follow the following flow:
s1, first-order jump matching
After the data of all the ternary vector sequences at the user side and the station transformer side are read, any one step in the ternary vector sequence of the terminal M is marked as step k, and the starting time is marked as t k Then at t k Within 5 minutes before and after (a), a power step matching step k is found on the ternary vector sequence of the transformer T in the transformer region as a first step match. Finally, recording the first step time difference t of the corresponding step k and the first step thereof solid
S2, sequence matching
For the first step pair meeting the first step matching condition, for the subsequent steps of k+1, k+ … k+n on the terminal M, the starting time is t respectively k+1 、t k+2 …t k+n . In a ternary vector sequence of a transformer T in a transformer area, searching T k+1 、t k+2 Step sequence matching is carried out to the steps within 1 second before and after the step, and the first step time difference t is counted solid I.e. at t k+1 +t solid ±1、t k+2 +t solid ±1…t k+n +t solid In the time range of +/-1, searching for a step matched with steps k+1, k+ … k+n in a ternary vector sequence of the transformer T in a transformer area, storing all subsequent steps matched in a step matching sequence Q, performing sequence matching on each first step of a terminal M, searching for a first step of maximizing the number of matched sequences, and storing a matching sequence selected by the first step;
s3, matching and checking
And (3) carrying out channel checksum time bias verification on the maximum matching subsequence of each combination of the user side sequences and the transformer side sequences of the platform, if the maximum matching subsequence is verified to ensure that the subsequence is no longer the maximum matching subsequence of the combination, taking the next largest matching subsequence to continue operation, and then selecting the largest matching subsequence which passes the matching verification from all the maximum matching subsequences of each user side sequence as a result of user change relation identification, wherein the possibility that the user side terminal belongs to the transformer of the platform is highest.
Further, the channel verification means that different steps between the channel number and the channel where the first step is located in the matching sequence are screened out according to the channel number of the load identification terminal.
The channel verification principle is as follows: the channel number of the load identification terminal corresponds to the split-phase information of the meter to be measured;
the time bias verification is to screen out steps which belong to different load identification terminals with the first step in the matching sequence according to hardware time errors between the load identification terminals, and the steps are added into the matching sequence only by coincidence.
The principle of time offset verification is as follows: the non-intrusive load identification terminal performs unified time synchronization every several days, but a crystal oscillator circuit used by the load identification terminal has clock deviation which cannot be completely eliminated, the clock deviation is gradually accumulated along with the operation of the load identification terminal, and the direction of the deviation is fixed in the operation of the same day and day.
The time offset check comprises an intra-day check and an inter-day check.
Further, the intra-day check refers to checking the change trend of the floating time interval between all steps including the first step passing the channel check and the matched step on the transformer T of the transformer area.
The daytime verification means that the daily first step time difference of a terminal with unchanged final matching result is checked under the condition that unified time synchronization is not carried out in the period, and the daily first step time difference absolute value is required to be slowly increased according to the time deviation verification principle.
The invention has the beneficial effects that:
1. the invention provides a low-voltage station area user change relation identification method based on high-density data sequence matching, which utilizes the structural characteristics and the energy transfer direction of a low-voltage station area power distribution network to extract a user side power step sequence and a station change side power step sequence, and searches an optimal step matching sequence by comparing the user side power step and the station change side power step sequence, so as to determine the station area user change relation;
2. the low-voltage station area user change relation identification method based on high-density data sequence matching can be suitable for a station area with a novel intelligent ammeter and high measurement density, greatly improves the accuracy of low-voltage station area user change relation identification, and provides real-time support for popularization of the intelligent ammeter in a low-voltage power distribution network;
3. the low-voltage station area user change relation identification method based on high-density data sequence matching fully utilizes the high-density low-voltage station area measurement data acquired by the non-intrusive load identification terminal, further improves the accuracy and the confidence of the low-voltage station area user change relation identification, and greatly reduces the operation analysis time of the station area topology identification.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described, and it will be obvious to those skilled in the art that other drawings can be obtained according to these drawings without inventive effort.
FIG. 1 is a topology diagram of a tree topology low voltage distribution substation sample in accordance with an embodiment of the present invention;
FIG. 2 is a topology diagram of a sample of a low voltage distribution substation in a fishbone topology in accordance with an embodiment of the invention;
FIG. 3 is a flow chart of step matching of an embodiment of the present invention;
FIG. 4 is a schematic diagram of a sequence of step ternary vectors for a transformer in a bay according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a sequence of step ternary vectors for a user table bin in accordance with an embodiment of the present invention;
fig. 6 is a flow chart of sequence matching of an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The low-voltage distribution transformer relation identification method based on high-density data sequence matching is suitable for a radial topology low-voltage distribution transformer area and a low-voltage distribution transformer area with fine-granularity electricity utilization behavior acquisition, wherein the radial topology structure comprises a tree topology structure and a fishbone topology structure, the tree topology structure is mostly seen in urban cells, and the fishbone topology structure is mostly seen in high-rise residential cells.
As shown in fig. 1, the low-voltage distribution transformer area with the tree topology has the following characteristics:
1. the transformer T is provided with a unique transformer area, and forms a root node of a tree structure;
2. under the T node of the transformer in the transformer area, at least one branch box B is arranged i
3. Each branch box B i Each has at least one user meter box M j
The tree topology is characterized in that: will be fixedly divided into three layers, the first layer containing only the table change nodes, the second layer containing only the branch box nodes, and the third layer containing only the table box nodes.
As shown in fig. 2, the low voltage distribution transformer area of the fishbone topology has the following characteristics:
1. the transformer T is provided with a unique transformer area to form a starting point of the fishbone structure;
2. under the T node of the transformer in the transformer area, at least one branch box B is arranged i
3. Each branch box B i Are all adjacent to a user meter box M j1
4. User meter box M j1 Thereafter, at least one user meter box M is connected in series jk
The fish bone topology is characterized in that: except for the transformer T node of the transformer area, the rest nodes only have no more than one child node.
In summary, the nodes and branches of the low-voltage distribution transformer area of the radial topology satisfy the following relationship:
n=m+1
wherein n is the node number in the topological graph, and m is the branch number in the topological graph.
And tree-like and fishbone-like low voltage cell topologies, the following properties need to be met:
(1) The topology of the low-voltage transformer area has a unique root node T, wherein T represents a transformer of the transformer area;
(2) At least one sub node B is separated from a root node in a low-voltage area topology i ,B i Representing a branch box;
(3) At least one sub-node M is separated from a branch box node in a low-voltage station area topology j And extends out of at least one layer, M j Representing a user table box;
(4) And only one branch is arranged between any two nodes in the low-voltage area topology, and no loop exists.
The low-voltage distribution transformer area with fine-granularity electricity consumption behavior collection has millisecond-level high-density electricity consumption collection capability, and can collect ternary vector sequences (comprising electrical appliance types, starting time and electric energy consumption) of users at a frequency of 1 Hz-1000 Hz. The ternary vector sequence can be acquired through a non-intrusive load identification technology.
The existing non-intrusive load identification terminal can sample the voltage and current of the meter to be measured, then calculate the power change curve of the meter to be measured through the existing algorithm, analyze the power curve to obtain the electric appliance work electricity event sequence, extract the electricity event of the power step therein, and record the ternary vector sequence of the meter to be measured user in real time, the ternary vector sequence is expressed as by mathematical symbols:
<c,t start ,P>
wherein c is the electrical appliance type of the recorded electricity utilization event, t start For the start time of a recorded power utilization event, p is the power step value of the recorded power utilization event.
As shown in fig. 3, for two independent electricity usage events e 1 <c 1 ,t 1,start ,P 1 > and e 2 <c 2 ,t 2,start ,P 2 >, where e 1 Occurs on the user side terminal M, e 2 Occurs at the transformer side terminal T of the bay. Judging twoPersonal electricity event e 1 And e 2 When the recorded steps match, the algorithm follows the following procedure:
s1, type matching
Ternary vector e for detecting two power utilization events 1 And e 2 Electrical appliance classification c comparing two electrical events 1 And c 2 The electrical appliance type judgment result given by the load identification terminal should be the same, namely c 1 =c 2
S2, matching time
Continuing to compare the start times t of the two steps 1,start And t 2,start The absolute value of the start time error recorded by the load identification terminal is less than 1s, namely |t 1,start -t 2,start |<1;
S3, power matching
Comparing power step value p of two power utilization events 1 And p 2 The step power recorded by the load identification terminal at the user side needs to be ensured to be smaller than that recorded by the load identification terminal at the transformer side, and for the transformer area with normal line loss rate, the above-mentioned size difference should not exceed 10% of the load power, namely
Only if the step matching condition is satisfied, the electricity utilization event e recorded on the user terminal M can be described 1 And the electricity utilization event e recorded on the station transformer side terminal T 2 Matching.
The ternary vectors recorded during the operation of the load identification terminal form a ternary vector sequence, and all ternary vector sequence groups formed by all load identification terminals in the platform region can be used for sequence matching.
As shown in fig. 4 and 5, taking single day data collected at 10Hz as an example, the principle of judging whether two ternary vector sequences are matched in the invention is as follows: after finding out the first step meeting the step matching condition, for each step after the first step in the user side ternary vector sequence, searching the step matched with the first step in the corresponding position of the transformer side ternary vector sequence of the transformer area according to the starting time and the time difference between the first steps; if the step of the user side can be repeatedly matched with the step of the transformer area, the ternary vector sequence of the user side and the ternary vector sequence of the transformer area form sequence matching; if a user side ternary vector sequence has a plurality of effective first steps or can form sequence matching with a plurality of transformer areas, the user side terminal is judged to be subordinate to the transformer area side terminal with the largest step matching number based on the first step scheme with the largest step matching number. After a pair of first steps are matched, each subsequent step on the table box of the user in fig. 5 is searched for at the corresponding moment of the transformer in the transformer area in fig. 4 according to the starting time, and if the subsequent step on the transformer in the transformer area can be found, the matching between every two steps is performed. All subsequent steps on the user table box are matched in sequence to form a group of sequence matching.
As shown in fig. 6, the two ternary vector sequences are judged to follow the following procedure:
s1, first-order jump matching
After the data of all the ternary vector sequences at the user side and the station transformer side are read, any one step in the ternary vector sequence of the terminal M is marked as step k, and the starting time is marked as t k Then at t k Within 5 minutes before and after (a), a power step matching step k is found on the ternary vector sequence of the transformer T in the transformer region as a first step match. Finally, recording the first step time difference t of the corresponding step k and the first step thereof solid
S2, sequence matching
For the first step pair meeting the first step matching condition, for the subsequent steps of k+1, k+ … k+n on the terminal M, the starting time is t respectively k+1 、t k+2 …t k+n . In a ternary vector sequence of a transformer T in a transformer area, searching T k+1 、t k+2 Step sequence matching is carried out to the steps within 1 second before and after the step, and the first step time difference t is counted solid I.e. at t k+1 +t solid ±1、t k+2 +t solid ±1…t k+n +t solid 1In the time range, searching for steps matched with steps k+1, k+ … k+n in the ternary vector sequence of the transformer T in the transformer area, storing all subsequent steps matched in a step matching sequence Q, performing sequence matching on each first step of the terminal M, searching for first steps of which the number of the matched sequences is maximized, and storing the matching sequence selected by the first steps;
s3, matching and checking
And (3) carrying out channel checksum time bias verification on the maximum matching subsequence of each combination of the user side sequences and the transformer side sequences of the platform, if the maximum matching subsequence is verified to ensure that the subsequence is no longer the maximum matching subsequence of the combination, taking the next largest matching subsequence to continue operation, and then selecting the largest matching subsequence which passes the matching verification from all the maximum matching subsequences of each user side sequence as a result of user change relation identification, wherein the possibility that the user side terminal belongs to the transformer of the platform is highest.
The channel verification is to screen out different steps of the channel number and the channel where the first step is located in the matching sequence according to the channel number of the load identification terminal. The channel checking principle is as follows: the channel number of the load identification terminal corresponds to the split-phase information of the meter to be measured. Although the split-phase file information of the meter to be measured is inaccurate, the corresponding relation between the meter to be measured and the load identification terminal channel is not frequently changed no matter whether the file information is correct or not
The time bias verification is to screen out the step which is not from the same load identification terminal with the first step in the matching sequence according to the hardware time error between the load identification terminals, and only the step which is added into the matching sequence by coincidence. The principle of time offset verification is as follows: the non-intrusive load identification terminal performs unified time synchronization every several days, but a crystal oscillator circuit used by the load identification terminal has clock deviation which cannot be completely eliminated, the clock deviation is gradually accumulated along with the operation of the load identification terminal, and the direction of the deviation is fixed in the operation of the same day and day. According to the principle, the time offset check comprises an intra-day check and an inter-day check.
Intra-day checking refers to checking all steps (including the first step) that pass the channel check against itFloating time interval T between matching steps on a station transformer T float Is a trend of change in (c). According to the principle of time bias verification, the absolute value |t of the floating time interval is as the running of the day proceeds float The theory should gradually increase, i.e. faster load identification terminals are more and more leading, and slower load identification terminals are more and more lagging. If the trend of the floating time intervals of all the steps is unstable, the step sequence is mismatched, and the steps which do not accord with the trend are screened out.
Wherein the time interval t floats float The calculation formula of (2) is as follows:
t float =T i -t i -t solid
in the above, t i Indicating the occurrence time of step i in the matching sequence, T i Indicating the moment of occurrence of the step on the table matching step i.
The daytime verification refers to checking the daily first-step time difference t of a terminal with unchanged daily final matching result under the condition that unified time synchronization is not carried out in the period solid According to the time bias verification principle, the absolute value of the first step time difference of each day is |t solid The l should increase slowly. The standard deviation of the first-order time difference of 3 days is calculated by daytime verification and is recorded as sigma (t d,solid ) If sigma (t) is satisfied d,solid ) And less than 10, judging that the matching result of the terminal is correct. If the first step matching of the terminal for 3 days is not satisfied, judging that the first step matching of the terminal for 3 days has errors, removing abnormal days from the first step matching, and continuously observing the step matching condition of the terminal for the following 2 days until a correct terminal matching result is obtained.
And all terminals pass the matching verification, and after the correct and stable terminal matching result is obtained, the user-to-user relationship of the low-voltage transformer area topological structure can be obtained.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made without departing from the spirit and scope of the invention, which is defined in the appended claims.

Claims (5)

1. The low-voltage distribution transformer relation identification method based on high-density data sequence matching is suitable for a low-voltage distribution transformer area with radial topology and a low-voltage distribution transformer area with fine-granularity electricity utilization behavior acquisition, and is characterized in that the radial topology structure comprises a tree topology structure and a fishbone topology structure;
the low-voltage distribution transformer area with the tree topology structure has the following characteristics:
the transformer T is provided with a transformer area to form a root node of a tree structure; under the T node of the transformer in the transformer area, at least one branch box B is arranged i The method comprises the steps of carrying out a first treatment on the surface of the Each branch box B i Each has at least one user meter box M j
The low-voltage distribution transformer area with the fishbone topology structure has the following characteristics:
the transformer T is provided with a transformer area to form a starting point of the fishbone structure; under the T node of the transformer in the transformer area, at least one branch box B is arranged i The method comprises the steps of carrying out a first treatment on the surface of the Each branch box B i Are all adjacent to a user meter box M j1 The method comprises the steps of carrying out a first treatment on the surface of the User meter box M j1 Thereafter, at least one user meter box M is connected in series jk
The low-voltage distribution area with fine-granularity electricity utilization behavior acquisition has millisecond-level high-density electricity utilization information acquisition capacity and can acquire a ternary vector sequence of a user;
the ternary vector sequence includes: c. t is t start And p, c is a recordThe electrical appliance type of the incoming electricity event, t start For the start time of the recorded power utilization event, p is the power step value of the recorded power utilization event;
the principle of judging whether two ternary vector sequences are matched is as follows: after finding out the first step meeting the step matching condition, for each step after the first step in the user side ternary vector sequence, searching for the step matched with the first step in the corresponding position of the transformer side ternary vector sequence of the transformer area according to the starting time and the time difference between the first steps;
if the step of the user side can be repeatedly matched with the step of the transformer area, the ternary vector sequence of the user side and the ternary vector sequence of the transformer area form sequence matching;
if a user side ternary vector sequence has a plurality of effective first steps or can form sequence matching with a plurality of transformer areas, judging that the terminal of the user side belongs to the transformer area side terminal with the largest step matching number based on the first step scheme with the largest step matching number;
judging that the two ternary vector sequences follow the following flow:
s1, first-order jump matching
After the data of all the ternary vector sequences at the user side and the station transformer side are read, any one step in the ternary vector sequence of the terminal M is marked as step k, and the starting time is marked as t k Then at t k Within 5 minutes before and after, searching for a power step matched with the step k on the ternary vector sequence of the transformer T in the transformer area as a first step match, and finally recording the first step time difference T of the corresponding step k and the first step solid
S2, sequence matching
Performing sequence matching on the first-order jump meeting the first-order jump matching condition, and performing subsequent steps of k+1, k+ … k+n on the terminal M, wherein the starting time is t respectively k+1 、t k+2 …t k+n The method comprises the steps of carrying out a first treatment on the surface of the In a ternary vector sequence of a transformer T in a transformer area, searching T k+1 、t k+2 Step sequence matching is carried out by counting the first step in the previous and later 1 second stepsStep time difference t solid I.e. at t k+1 +t solid ±1、t k+2 +t solid ±1…t k+n +t solid In the time range of +/-1, searching for a step matched with steps k+1, k+ … k+n in a ternary vector sequence of the transformer T in a transformer area, storing all subsequent steps matched in a step matching sequence Q, performing sequence matching on each first step of a terminal M, searching for a first step of maximizing the number of matched sequences, and storing a matching sequence selected by the first step;
s3, matching and checking
And (3) carrying out channel checksum time bias verification on the maximum matching subsequence of each combination of the user side sequences and the transformer side sequences of the platform, if the maximum matching subsequence is verified to ensure that the subsequence is no longer the maximum matching subsequence of the combination, taking the next largest matching subsequence to continue operation, and then selecting the largest matching subsequence which passes the matching verification from all the maximum matching subsequences of each user side sequence as a result of user change relation identification, wherein the possibility that the user side terminal belongs to the transformer of the platform is highest.
2. The method for identifying the user-transformation relationship of the low-voltage station based on high-density data sequence matching according to claim 1, wherein the tree topology is characterized in that: dividing the fixed area into three layers, wherein the first layer only comprises a station transformer node, the second layer only comprises a branch box node, and the third layer only comprises a table box node;
the fishbone topology is characterized in that: except for a transformer T node of the transformer area, the rest nodes only have no more than one child node;
the nodes and branches of the low-voltage distribution transformer area of the radial topology satisfy the following relations:
n=m+1
n is the number of nodes in the topological graph, and m is the number of branches in the topological graph;
the tree-and fish-bone-like low-voltage transformer area topology needs to meet the following properties:
the topology of the low-voltage transformer area is provided with a unique root node T, wherein T represents a transformer of the transformer area;
at least one sub node B is separated from a root node in a low-voltage area topology i ,B i Representing a branch box;
at least one sub-node M is separated from a branch box node in a low-voltage transformer area topology j And extends out of at least one layer, M j Representing a user table box;
there is only one branch between any two nodes in the low-voltage area topology, and no loop exists.
3. The method for identifying a household transformer relation of a low-voltage station based on high-density data sequence matching according to claim 1, wherein when judging whether two power utilization events and recorded steps are matched, the algorithm follows the following principle: type matching, time matching and power matching;
the types are matched, namely the types of the electric appliances are the same;
the time matching is that the absolute value of the starting time difference is smaller than 1s;
the power match, i.e. the difference in electrical energy consumption, is less than 10%.
4. The method for identifying the household change relation of the low-voltage station area based on the high-density data sequence matching according to claim 1, wherein the channel verification is to screen out the step different from the channel where the first step is located in the channel number in the matching sequence according to the channel number of the load identification terminal;
the channel verification principle is as follows: the channel number of the load identification terminal corresponds to the split-phase information of the meter to be measured;
the time bias verification is to screen out steps which belong to different load identification terminals with first steps in the matching sequence according to hardware time errors between the load identification terminals, wherein the steps are added into the matching sequence only by coincidence;
the principle of time offset verification is as follows: the non-intrusive load identification terminal performs unified time synchronization once every several days, but a crystal oscillator circuit used by the load identification terminal has clock deviation which cannot be completely eliminated, the clock deviation is gradually accumulated along with the operation of the load identification terminal, and the direction of the deviation is fixed in the operation of the same day and the operation of the same day;
the time offset check comprises an intra-day check and an inter-day check.
5. The method for identifying a household transformer relation of a low-voltage transformer area based on high-density data sequence matching according to claim 4, wherein the intra-day check means that the change trend of the floating time interval between all steps including the first step passing through the channel check and the matching step thereof on the transformer T of the transformer area is checked;
the daytime verification means that the daily first step time difference of a terminal with unchanged final matching result is checked under the condition that unified time synchronization is not carried out in the period, and the daily first step time difference absolute value is required to be slowly increased according to the time deviation verification principle.
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